
Proceedings Paper
Numerical 3D modeling of heat transfer in human tissues for microwave radiometry monitoring of brown fat metabolismFormat | Member Price | Non-Member Price |
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Paper Abstract
Background: Brown adipose tissue (BAT) plays an important role in whole body metabolism and could potentially
mediate weight gain and insulin sensitivity. Although some imaging techniques allow BAT detection, there are currently
no viable methods for continuous acquisition of BAT energy expenditure. We present a non-invasive technique for long
term monitoring of BAT metabolism using microwave radiometry.
Methods: A multilayer 3D computational model was created in HFSSTM with 1.5 mm skin, 3-10 mm subcutaneous fat,
200 mm muscle and a BAT region (2-6 cm3) located between fat and muscle. Based on this model, a log-spiral antenna
was designed and optimized to maximize reception of thermal emissions from the target (BAT). The power absorption
patterns calculated in HFSSTM were combined with simulated thermal distributions computed in COMSOL® to predict
radiometric signal measured from an ultra-low-noise microwave radiometer. The power received by the antenna was
characterized as a function of different levels of BAT metabolism under cold and noradrenergic stimulation.
Results: The optimized frequency band was 1.5-2.2 GHz, with averaged antenna efficiency of 19%. The simulated
power received by the radiometric antenna increased 2-9 mdBm (noradrenergic stimulus) and 4-15 mdBm (cold
stimulus) corresponding to increased 15-fold BAT metabolism.
Conclusions: Results demonstrated the ability to detect thermal radiation from small volumes (2-6 cm3) of BAT located up to 12 mm deep and to monitor small changes (0.5 °C) in BAT metabolism. As such, the developed miniature
radiometric antenna sensor appears suitable for non-invasive long term monitoring of BAT metabolism.
Paper Details
Date Published: 26 February 2013
PDF: 12 pages
Proc. SPIE 8584, Energy-based Treatment of Tissue and Assessment VII, 85840S (26 February 2013); doi: 10.1117/12.2004931
Published in SPIE Proceedings Vol. 8584:
Energy-based Treatment of Tissue and Assessment VII
Thomas P. Ryan, Editor(s)
PDF: 12 pages
Proc. SPIE 8584, Energy-based Treatment of Tissue and Assessment VII, 85840S (26 February 2013); doi: 10.1117/12.2004931
Show Author Affiliations
Dario B. Rodrigues, Duke Univ. (United States)
Univ. Nova de Lisboa (Portugal)
Paolo F. Maccarini, Duke Univ. (United States)
Sara Salahi, Ansys, Inc. (United States)
Erin Colebeck, Mississippi State Univ. (United States)
Univ. Nova de Lisboa (Portugal)
Paolo F. Maccarini, Duke Univ. (United States)
Sara Salahi, Ansys, Inc. (United States)
Erin Colebeck, Mississippi State Univ. (United States)
Erdem Topsakal, Mississippi State Univ. (United States)
Pedro J. S. Pereira, Univ. Nova de Lisboa (Portugal)
Instituto Superior de Engenharia de Lisboa (Portugal)
Paulo Limão-Vieira, Univ. Nova de Lisboa (Portugal)
Paul R. Stauffer, Duke Univ. (United States)
Pedro J. S. Pereira, Univ. Nova de Lisboa (Portugal)
Instituto Superior de Engenharia de Lisboa (Portugal)
Paulo Limão-Vieira, Univ. Nova de Lisboa (Portugal)
Paul R. Stauffer, Duke Univ. (United States)
Published in SPIE Proceedings Vol. 8584:
Energy-based Treatment of Tissue and Assessment VII
Thomas P. Ryan, Editor(s)
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